During the second half of the 20th century, Murray Rosenblatt
was one of the most celebrated and leading figures in probability
and statistics. Among his many contributions, Rosenblatt conducted
seminal work on density estimation, central limit theorems under
strong mixing conditions, spectral domain methodology, long memory
processes and Markov processes. He has published over 130 papers
and 5 books, many as relevant today as when they first appeared
decades ago. Murray Rosenblatt was one of the founding members of
the Department of Mathematics at the University of California at
San Diego (UCSD) and served as advisor to over twenty PhD students.
He maintains a close association with UCSD in his role as Professor
Emeritus.
This volume is a celebration of Murray Rosenblatt's stellar
research career that spans over six decades, and includes some of
his most interesting and influential papers. Several leading
experts provide commentary and reflections on various directions of
Murray's research portfolio."
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